HUBUNGAN GAYA BELAJAR DAN KEAKTIFAN BELAJAR DENGAN \nHASIL BELAJAR TEMATIK PESERTA DIDIK KELAS III \nSD NEGERI TAHUN AJARAN 2022/2023 \n
Bibliographic record
Abstract
Permasalahan pada penelitian ini adalah rendahnya hasil belajar tematik peserta \ndidik kelas III SD Negeri Gugus Dokter Wahidin Sudiro Husodo. Penelitian ini \nbertujuan untuk mengetahui hubungan yang positif dan signifikan antara gaya \nbelajar dan keaktifan belajar dengan hasil belajar tematik peserta didik. Jenis \npenelitian ini adalah penelitian kuantitatif dengan metode ex-post facto korelasi. \nPopulasi berjumlah 78 orang peserta didik dan seluruh populasi dijadikan sampel \npenelitian dengan teknik non probability sampling yaitu sampling jenuh. Teknik \npengumpulan data yaitu kuesioner dan studi dokumentasi. Instrumen \npengumpulan data berupa angket dengan skala Likert, yang sebelumnya diuji \nvaliditas dan reliabilitas. Teknik analisis data menggunakan uji normalitas, uji \nlinearitas, korelasi product moment dan multiple correlation. Hasil penelitian \nmenunjukkan terdapat hubungan yang positif dan signifikan antara gaya belajar \ndan keaktifan belajar dengan hasil belajar tematik peserta didik kelas III SD \nNegeri Gugus Dokter Wahidin Sudiro Husodo tahun ajaran 2022/2023 dengan \nkoefisien korelasi sebesar 0,593 berada pada taraf “Cukup Kuat”. \n \nKata kunci: gaya belajar, hasil belajar tematik, keaktifan belajar. \n \n \nThe problem of this research was the low learning outcomes of students of III \n \ngrade of Public Elementary School in Dokter Wahidin Sudiro Husodo cluster. The \npurpose of the research was to know positif and significant of relationship \nbetween learning styles with learning positif and significant of relationship \nbetween learning styles and learning activeness with learning outcomes students. \nrd \nThis type of research is quantitative research with ex-post facto correlation \nresearch method. The population is 78 students and the entire population is the \nresearch sample using a non-probability sampling namely a saturated sampling. \nThe technique of data collection were questionnaire and documentation studies. \nData collection instruments in the form of a questionnaire with a Likert scale has \nbeen claimed validity and reliability. Data analysis techniques used the normality \ntest, product moment correlation and multiple correlations. The results showed \nthat: there was a positive and significant relationship between learning style and \nlearning activity with the learning outcomes of students of III \n grade of Public \nElementary School in Dokter Wahidin Sudiro Husodo cluster academic year \n2022/2023 with a correlation coefficient of 0.593 according to the "Strong \nEnough" level. \n \nKeywords: learning activeness, learning outcomes, learning styles. \n \nrd \n
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.056 | 0.009 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".